Design and Implementation of an Examination Seating Arrangement Application to Curb Examination Malpractice
Article Sidebar
Main Article Content
Abstract
This research presents a web-based application developed to address the issue of "Giraffing" during examinations. The application in addition to the automating the examination seating arrangement so as to ensure that students enrolled in the same courses are not seated next to each other during the examination, it also includes a messaging feature that sends text messages to the students a five minutes before the start of the examination. These messages serve as reminders and provide important instructions, such as the examination time, location, and any specific materials required. By proactively communicating with the students, the application aims to minimize instances of lateness and confusion, ensuring that students are well-prepared and informed before entering the examination hall. The application, built using Laravel and Vue.js, incorporates key modules to facilitate the management and execution of the seating arrangement process. The greedy graph colouring algorithm and connection matrix served as the underlying methods for generating optimal seating assignments, effectively minimizing proximity among students with shared course enrolments. The message feature was facilitated by Termii API. To evaluate the application's functionality, thorough testing was conducted within the university environment. A selected number of students participated in the testing phase, ensuring the application's effectiveness and performance in real-world scenarios. Notably, the application successfully fulfilled all requirements, including the generation of a graphical representation of the seating arrangement and the timely delivery of text messages to students. These messages provided students with essential examination details and other relevant information, sent precisely five minutes before their scheduled examinations.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
References
[2] Emaikwu, S.O. (2012). Assessing the Impact of Examination Malpractices on the Measurement of Ability in Nigeria, International Journal of Social Sciences and Education, 2 (4), 748- 757
[3] Osuji, U.S.A. (2020). Trends of Examination Malpractices and the Roles of Examination Bodies in Nigeria, Retrieved from https://www.researchgate.net/publication/345431346 on 2022/01/13.
[4] Ushie, S. & Ishanga, R. (2016). Examination Malpractice: Causes, Effects and Possible Ways of Curbing the Menace. A Study of Cross River University of Technology, International Journal of Managerial Studies and Research, 4(1), 59-65.
[5] Maureen, M. (2018). The Psychological Approach to Reducing Examination Misconduct, International Journal of Educational Psychology, 1(4), 1-10.
[6] Nwana, O. C. (2000). The state of Education in Nigeria UNESCO Lagos Office Nigeria. Retrieved from https://unesdoc.unesco.org/ark:/48223/pf0000149503, on 15/01/2022
[7] Esrom, T. J. (2013). Curbing Examination Malpractice in Schools Participative Advocacy', Journal of Research in National Development, 2(11), 121-135.
[8] Ajayi, I. A. (2002). History and Development of Education, PETOA Educational Publishers
[9] Ifijeh, G., Michael-Onuoha, H.C., Ilogho, J. & Osinulu, I. (2015). Emergence of Hi-tech Examination Malpractice in Nigeria: Issues and Implications, International journal of Education and Research, 3(3), 113-122.
[10] Underwood, J. & Sarbo, A. (2004). Academic Offenses and E-learning: Individual Propensities in Cheating, British Journal of Educational Technology, 34(4), 467-478.
[11] Adeyemo, O., Oyeyemi, B. & Babatunde, M. (2018). Perception of Tertiary Institution Students Towards Mobile Assisted eCheating and Nigerian Examination Quality: Focus on Lagos State Tertiary Institutions', Participatory Educational Research, 5(1), 74-85.
[12] Ajasa, A. A., Shoewu, O. & Nwamina, P. O. (2014). Design and Development of a Mobile Phone Signal Detector, Pacific Journal of Science and Technology, 15(2), 167-172.
[13] Gokula, R. & Dass, A.R. (2018). Examination Hall and Seating Arrangement Application using PHP, International Journal of Engineering Science and Computing, 8(2), 16059-16065.
[14] Odejobi, O. A. & Clarke, N. L. (2009). Implementing Biometrics to Curb Examination Malpractices in Nigeria, In: Dowland, P.S., and, Furnell, S.M., Advances in Networks, Computing and Communications, 2007-2008 Proceedings of the MSc/MRes Programmes from the School of Computing, Communications and Electronics, vol 6, section 1, pp. 115-123.
[15] Suleman, Q., Gul, R., Ambrin, S. & Kamran, F. (2015). Factors Contributing to Examination Malpractices at Secondary School Level in Kohat Division, Pakistan, Journal of Education and Learning (EduLearn), 9(2), 165-182.
[16] Fluck, A., Pullen, D. & Harper, C. (2009). Case study of a computer based examination system, Australasian Journal of Educational Technology, 25(4), 509-523.
[17] Abas, O. A., Olajide, S. A. & Babafemi, O. S. (2017). Development of Web-Based Examination System Using Open Source Programming Model, Turkish Online Journal of Distance Education, 18(2), 30-40.
[18] Fayomi O.O., Amodu L., Ayo C. K., Idowu O. R. & Iyoha F. O. (2016). E-Invigilation: Panacea to Examination Malpractice in Nigeria, Proceedings of ICERI2015 Conference 16th-18th November 2015, Seville, Spain, 2849-2858
[19] Aashti, F. A. (2016). Seating arrangement Tools for examinations, International Journal of Engineering Applied Sciences and Technology, 1(4), 8-10.
[20] Anjum, S., Chodey, M. D. & Muneeb A.C. (2021): Automation of Exam Hall Allotment and Seating Arrangement', International Journal of Engineering Research & Technology, 10(06), 447-452.
[21] Karabaliev, M., Nedeva, V., Pehlivanova, T. and Minchev, A. (2020). Reliable and secure online exams during the COVID-19 pandemic, Proceedings of the 15th International Conference on Virtual Learning, October 31,2020, University of Bucharest, pp. 326-331.
[22] Marjanovic, M., Tomasevic, V. & Zivkovic, D. (2015). Anti-plagiarism Software: Usage, Effectiveness and Issues, in Synthesis 2015 - International Scientific Conference of IT and Business-Related Research, Belgrade, Singidunum University, Serbia, 119-122.
[23] Nawaz M.S., & Awan, M.F. (2013). Graph Coloring Algorithm using Adjacency Matrices, International Journal of Scientific & Engineering Research, 4(4), 1840 – 1842.
[24] Kubale, M. (2012). Graph Coloring: A survey, in Chartrand, G., Harary, F. and Zhang, P. (eds.) The CRC Handbook of Combinatorial Designs. Boca Raton, FL: CRC Press, 437-455.
[25] Lewis, R. (2016). A Guide to Graph Coloring Algorithm and Applications, Springer International Publishing, Switzerland
[26] Kashyap, M.M., Thejas, S., Gaurav, C.G. & Srinivas, K.S. (2021). Exam Seating Allocation to Prevent Malpractice Using Genetic Multi-optimization Algorithm. In: Thampi, S.M., Piramuthu, S., Li, K.C., Berretti, S., Wozniak, M., and Singh, D. (eds) Machine Learning and Metaheuristics Algorithms, and Applications. SoMMA 2020. Communications in Computer and Information Science, vol 1366. Springer, Singapore. https://doi.org/10.1007/978-981-16-0419-5_11
[27] Inamdar, A., Gangar, A., Gupta, A. & Shrivastava V. (2018). Automatic exam seating & teacher duty allocation system. Second International Conference on Inventive Communication and Computational Technologies 1302. https://doi.org/ 10.1109/ICICCT.2018.8473145